The purpose of this study was to develop a new version of Spirituality Assessment Scale (N-SAS) and verify its reliability and validity.
The total of 59 preliminary items for the N-SAS were selected through a literature review, two rounds of experts’ content validation, cognitive interviews, and pre-tests. Verification of its reliability and validity was divided into two phases. In Phase I, questionnaires were collected from 219 adults. Reliability was tested using Cronbach’s alpha, validity with item analysis, and exploratory factor analysis. In Phase II, questionnaires developed based on the results of Phase I were collected from 225 adults. Reliability was tested using Cronbach’s alpha, validity with confirmatory factor analysis, and criterion validity.
The final version of the N-SAS comprised two dimensions (vertical and horizontal), four domains (relationship with God; meaning of life and self-integration; self-transcendence; and relationship with others, neighborhoods, and nature), and 44 items were identified. Total Cronbach’s α was .97; those of each subscale ranged from .79 to .98. N-SAS scores were positively correlated with the scores of Howden’s Spiritual Assessment Scale (r=.81,
Findings suggest that the N-SAS can be used to measure spirituality in adults. The use of N-SAS is expected to facilitate perceiving patient’s spiritual needs and providing spiritual care.
This study attempted to develop a scale that measures the level of patients' recognition of the nurses' care, based on Watson's caring theory, and confirmed its reliability and validity.
The items were developed through a literature review and an expert content validity test. The questionnaires were administered to 285 inpatients of internal medicine and surgical units at two general hospitals. Construct validity was tested using exploratory and confirmatory factor analysis, and reliability was tested using Cronbach's alpha.
This process resulted in a preliminary scale composed of 34 items; We used item analysis and five exploratory factor analyses, and consequently selected 14 items composed of three factors (respect, genuineness, and relationality). The confirmatory factor analysis verified the model fit and convergent and discriminant validity of the final items; criterion validity was confirmed with the positive correlation with the measurement scale of the patient-perceived quality of nursing . The overall scale reliability had a Cronbach's alpha of .92, which indicated internal consistency and reliability.
The developed scale showed content, construct, and criterion validity, and reliability, as well as convergent validity for each item and discriminant validity between the factors. This makes it suitable for use in a diverse range of future studies on nurse communication using structural equation models.
The purpose of this study was to develop and psychometrically test the Korean Geriatric Loneliness Scale (KGLS).
The initial items were based on in-depth interviews with 10 older adults. Psychometric testing was then conducted with 322 community-dwelling older adults aged 65 or older. Content, construct, and criterion-related validity, classification in cutoff point, internal consistency reliability, and test-retest reliability were used for the analysis.
Exploratory factor analysis showed three factors, including 15 items explaining 91.6% of the total variance. The three distinct factors were loneliness associated with family relationships (34.3%), social loneliness (32.4%), and a lack of belonging (24.9%). As a result of confirmatory factor analysis, 14 items in the three-factor structure were validated. Receiver operating characteristic analysis demonstrated that the KGLS’ cutoff point of 32 was associated with a sensitivity of 71.0%, specificity of 80.2%, and area under the curve of .83. Reliability, as verified by the test-retest intraclass correlation coefficient, was .89, and Cronbach's α was .90.
As its validity and reliability have been verified through various methods, the KGLS can contribute to assessing loneliness in South Korean older adults.
The purpose of this study was to develop a scale to measure person-centered critical care nursing and verify its reliability and validity.
A total of 38 preliminary items on person-centered critical care nursing were selected using content validity analysis of and expert opinion on 72 candidate items derived through literature review and qualitative interviews. We conducted a questionnaire survey with 477 nurses who worked in intensive care units. The collected data were analyzed using exploratory factor analysis (EFA) and confirmative factor analysis (CFA) with SPSS and AMOS 24.0 program.
EFA was performed with principal axis factor analysis and Varimax rotation. The 15 items in 4 factors that accounted for 50.8% of the total variance were identified by deleting the items that were not meet the condition that the commonality should be .30 or more and the factor loading over .40. We named the factors as compassion, individuality, respect, and comfort, respectively. The correlation coefficient between this scale and the Caring Perception Scale was
The reliability and validity of the 15 item person-centered critical care nursing scale were verified. It is expected that the use of this scale would expand person-centered care in critical care nursing.
This study aimed to develop an instrument to assess the quality of childbirth care from the perspective of a mother after delivery.
The instrument was developed from a literature review, interviews, and item validation. Thirty-eight items were compiled for the instrument. The data for validity and reliability testing were collected using a questionnaire survey conducted on 270 women who had undergone normal vaginal delivery in Korea and analyzed with descriptive statistics, exploratory factor analysis, and reliability coefficients.
The exploratory factor analysis reduced the number of items in the instrument to 28 items that were factored into four subscales: family-centered care, personal care, emotional empowerment, and information provision. With respect to convergence validation, there was positive correlation between this instrument and birth satisfaction scale (r=.34,
This instrument could be used as a measure of the quality of nursing care for women who have a normal vaginal delivery.
The purpose of the present study is 1) to explain major effect models (main, moderating, and mediating) of social support and statistical methods for testing the effect models and 2) to analyze and evaluate the consistency in the use of the effect models and its statistical methods in Korean nursing studies. A total of 57 studies were selected from Journal of Korean Academy of Nursing, Journal of Korean Academic Society of Adult Nursing, Journal of Korean Women's Health Nursing Academic Society, Journal of Fundamentals of Nursing, Journal of Korean Community Nursing, Journal of Korean Psychiatric and Mental Health Nursing Academic Society, and Journal of Korean Pediatric Nursing Academic Society published in the year of 1990-1999. In results, most studies on social support performed in Korea Nursing Society were about a main effect model. There are few studies on moderating or mediating model of social support. Thus, it was difficult to find research findings how, why, under what conditions social support impacted on health outcomes. Most studies on the moderating or mediating effect model of social support used statistical methods for testing main effect model rather than for testing moderating or mediating effect model. That is, there are inconsistency between effect models of social support and its statistical methods in Korean nursing researches. Therefore, it is recommended to perform studies on moderating or mediating effect model and use appropriate statistical methods.
This study aimed to identify latent classes based on major modifiable risk factors for coronary artery disease.
This was a secondary analysis using data from the electronic medical records of 2,022 patients, who were newly diagnosed with coronary artery disease at a university medical center, from January 2010 to December 2015. Data were analyzed using SPSS version 20.0 for descriptive analysis and Mplus version 7.4 for latent class analysis.
Four latent classes of risk factors for coronary artery disease were identified in the final model: ‘smoking-drinking’, ‘high-risk for dyslipidemia’, ‘high-risk for metabolic syndrome’, and ‘high-risk for diabetes and malnutrition’. The likelihood of these latent classes varied significantly based on socio-demographic characteristics, including age, gender, educational level, and occupation.
The results showed significant heterogeneity in the pattern of risk factors for coronary artery disease. These findings provide helpful data to develop intervention strategies for the effective prevention of coronary artery disease. Specific characteristics depending on the subpopulation should be considered during the development of interventions.
The purpose of this study was to introduce the main concepts of statistical testing and effect size and to provide researchers in nursing science with guidance on how to calculate the effect size for the statistical analysis methods mainly used in nursing.
For t-test, analysis of variance, correlation analysis, regression analysis which are used frequently in nursing research, the generally accepted definitions of the effect size were explained.
Some formulae for calculating the effect size are described with several examples in nursing research. Furthermore, the authors present the required minimum sample size for each example utilizing G*Power 3 software that is the most widely used program for calculating sample size.
It is noted that statistical significance testing and effect size measurement serve different purposes, and the reliance on only one side may be misleading. Some practical guidelines are recommended for combining statistical significance testing and effect size measure in order to make more balanced decisions in quantitative analyses.
To develop and test the validity and reliability of the Korean version of PES-NWI measuring nursing work environments in hospitals.
The Korean version of the PES-NWI was developed through forward-backward translation techniques, and revision based on feedback from focus groups. An internal consistency reliability and construct validity using confirmatory factor analysis were conducted using SPSS WIN (16.0) and AMOS (18.0). Survey data were collected from 733 nurses who worked in three acute care hospitals in Seoul, South Korea.
The Korean version of PES-NWI showed reliable internal consistency with a Cronbach's alpha for the total scale of .93. Factor loadings of the 29 items on the five subscales ranged from .28 to .85. The five subscales model was validated by confirmatory factor analysis (RMR<.05, CFI>.9).
The findings of this study demonstrate that the Korean version of PES-NWI has satisfactory construct validity and reliability to measure nursing work environments of hospitals in Korea.